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Master Thesis – Data Analytics for Vehicle Thermal System Simulation Models
Introduction
Modelling and simulation of vehicle systems is an important and integrated part of the development process for vehicles. It is of great importance that the simulation models learn and are continuously improved based on feedback from actual usage of the products in the hands of the customer. This is a growing field where we now offer an opportunity for you to contribute to the progress.
Who we are
The Thermal Management department within Vehicle Technology is responsible for developing, delivering, and maintaining an optimized Cab Climate and Thermal Supply systems for all types of propulsion installations to all truck brands within the Volvo Group. We are responsible for leading the work with strategies and advanced engineering globally. We are located at Gothenburg and Bangalore and we have close cooperation with the engineering sites located in Greensboro and Lyon. We understand the final customer needs and apply our knowledge to develop technical concepts and solutions that satisfy customer and business needs. The work is based on innovation, shared technology, common architecture and brand uniqueness. We want to make a difference by being there for our customers and by providing uptime and reliable products.
As a master thesis student in the Thermal Management Verification and Validation team you will be a valued contributor to our deliveries and continuous learning. You will be surrounded by a global and diverse team of highly skilled and engaged colleagues who will be interested in the progress of your work and eager to help and support along the way.
Description of tasks and expected outcome
- Mapping of available data from customer trucks suitable for GT-Suite thermal model calibration and learning
- Development of simulation process and automation through scripts for vehicle thermal system model calibration and learning
- Identification of gaps with regards to data from customer trucks suitable for GT-Suite thermal model calibration and learning
- Explore and map machine learning techniques and other modelling approaches for utilizing customer data analytics for thermal digital twin modeling, calibration, and continuous learning
- Define and develop methodologies for optimal usage of customer data analytics for thermal digital twin vehicle models
Suitable background
This master thesis is a complex task that requires analytical skills and a deep understanding of tools and methodologies for data analytics and simulations. In order to be successful in this master thesis project we believe that it is important that you recognize yourself in the following description.
- Final year student in Master program for Automotive, Physics, Mechatronics, Mechanical, Electrical Engineering or similar
- Experience of using simulation tools such as GT-Suite, Simulink or similar
- Programming skills in Python, Matlab or similar
- Fundamental understanding of thermodynamics, with emphasis on fluid mechanics and heat transfer
- Fundamental knowledge of vehicle technology
- Analytical mindset and problem-solving skills
- Fluent in English
Thesis level: Master, 30 ECTS credits
Number of students: 1-2
Start date: Second half of January 2024, or upon agreement
Industrial supervisors: Maria Krantz, Harshith Munimahadeva
Location: Volvo Lundby site, Gothenburg, Sweden
We look forward to receiving your application!